Search ga_ls8c_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2013-04-03 11:27:36	ga_ls8c_ard_3-0-0_111074_2013-04-03_final
2013-04-22 11:27:52	ga_ls8c_ard_3-0-0_111074_2013-04-22_final
2013-04-22 11:28:16	ga_ls8c_ard_3-0-0_111075_2013-04-22_final
2013-04-22 11:28:40	ga_ls8c_ard_3-0-0_111076_2013-04-22_final
2013-04-22 11:29:04	ga_ls8c_ard_3-0-0_111077_2013-04-22_final
2013-04-22 11:29:28	ga_ls8c_ard_3-0-0_111078_2013-04-22_final
2013-04-22 11:29:52	ga_ls8c_ard_3-0-0_111079_2013-04-22_final
2013-06-11 11:18:55	ga_ls8c_ard_3-0-0_109082_2013-06-11_final
2013-06-11 11:19:19	ga_ls8c_ard_3-0-0_109083_2013-06-11_final
2013-07-04 11:23:29	ga_ls8c_ard_3-0-0_110078_2013-07-04_final
2013-07-04 11:23:53	ga_ls8c_ard_3-0-0_110079_2013-07-04_final
2013-07-04 11:24:17	ga_ls8c_ard_3-0-0_110080_2013-07-04_final
2013-07-04 11:24:41	ga_ls8c_ard_3-0-0_110081_2013-07-04_final
2013-07-04 11:25:05	ga_ls8c_ard_3-0-0_110082_2013-07-04_final
2013-07-04 11:25:29	ga_ls8c_ard_3-0-0_110083_2013-07-04_final
2013-07-09 11:37:39	ga_ls8c_ard_3-0-0_113067_2013-07-09_final
2016-09-12 11:30:30	ga_ls8c_ard_3-0-0_112069_2016-09-12_final
2016-09-12 11:30:54	ga_ls8c_ard_3-0-0_112070_2016-09-12_final
2016-09-12 11:31:18	ga_ls8c_ard_3-0-0_112071_2016-09-12_final
2016-09-12 11:31:42	ga_ls8c_ard_3-0-0_112072_2016-09-12_final
2016-09-12 11:32:06	ga_ls8c_ard_3-0-0_112073_2016-09-12_final
2016-09-12 11:32:29	ga_ls8c_ard_3-0-0_112074_2016-09-12_final
2016-09-14 11:21:44	ga_ls8c_ard_3-0-0_110078_2016-09-14_final
2016-09-14 11:22:08	ga_ls8c_ard_3-0-0_110079_2016-09-14_final
2016-09-14 11:22:32	ga_ls8c_ard_3-0-0_110080_2016-09-14_final
2016-09-14 11:22:56	ga_ls8c_ard_3-0-0_110081_2016-09-14_final
2016-09-14 11:23:20	ga_ls8c_ard_3-0-0_110082_2016-09-14_final
2016-09-14 11:23:44	ga_ls8c_ard_3-0-0_110083_2016-09-14_final
2016-09-23 11:17:09	ga_ls8c_ard_3-0-0_109082_2016-09-23_final
2016-09-23 11:17:33	ga_ls8c_ard_3-0-0_109083_2016-09-23_final
2016-09-23 11:17:57	ga_ls8c_ard_3-0-0_109084_2016-09-23_final
2016-09-23 11:18:21	ga_ls8c_ard_3-0-0_109085_2016-09-23_final
2016-10-23 11:26:02	ga_ls8c_ard_3-0-0_111073_2016-10-23_final
2016-10-23 11:26:26	ga_ls8c_ard_3-0-0_111074_2016-10-23_final
2016-10-23 11:26:50	ga_ls8c_ard_3-0-0_111075_2016-10-23_final
2016-10-23 11:27:14	ga_ls8c_ard_3-0-0_111076_2016-10-23_final
2016-10-23 11:27:38	ga_ls8c_ard_3-0-0_111077_2016-10-23_final
2016-10-23 11:28:02	ga_ls8c_ard_3-1-0_111078_2016-10-23_final
2016-10-23 11:28:26	ga_ls8c_ard_3-0-0_111079_2016-10-23_final
2016-10-25 11:17:16	ga_ls8c_ard_3-0-0_109082_2016-10-25_final
2016-10-25 11:17:40	ga_ls8c_ard_3-0-0_109083_2016-10-25_final
2016-10-25 11:18:04	ga_ls8c_ard_3-0-0_109084_2016-10-25_final
2016-10-25 11:18:28	ga_ls8c_ard_3-0-0_109085_2016-10-25_final
2016-10-30 11:30:37	ga_ls8c_ard_3-0-0_112069_2016-10-30_final
2016-10-30 11:31:01	ga_ls8c_ard_3-0-0_112070_2016-10-30_final
2016-10-30 11:31:25	ga_ls8c_ard_3-0-0_112071_2016-10-30_final
2016-10-30 11:31:49	ga_ls8c_ard_3-0-0_112072_2016-10-30_final
2016-10-30 11:32:13	ga_ls8c_ard_3-0-0_112073_2016-10-30_final
2016-10-30 11:32:37	ga_ls8c_ard_3-0-0_112074_2016-10-30_final
2016-11-01 11:21:51	ga_ls8c_ard_3-0-0_110078_2016-11-01_final
2016-11-01 11:22:15	ga_ls8c_ard_3-0-0_110079_2016-11-01_final
2016-11-01 11:22:39	ga_ls8c_ard_3-0-0_110080_2016-11-01_final
2016-11-01 11:23:03	ga_ls8c_ard_3-0-0_110081_2016-11-01_final
2016-11-01 11:23:27	ga_ls8c_ard_3-0-0_110082_2016-11-01_final
2016-11-01 11:23:51	ga_ls8c_ard_3-0-0_110083_2016-11-01_final
2016-11-08 11:26:01	ga_ls8c_ard_3-0-0_111073_2016-11-08_final
2016-11-08 11:26:25	ga_ls8c_ard_3-1-0_111074_2016-11-08_final
2016-11-08 11:26:49	ga_ls8c_ard_3-0-0_111075_2016-11-08_final
2016-11-08 11:27:13	ga_ls8c_ard_3-0-0_111076_2016-11-08_final
2016-11-08 11:27:37	ga_ls8c_ard_3-0-0_111077_2016-11-08_final
2016-11-08 11:28:01	ga_ls8c_ard_3-1-0_111078_2016-11-08_final
2016-11-08 11:28:25	ga_ls8c_ard_3-0-0_111079_2016-11-08_final
2016-11-10 11:17:14	ga_ls8c_ard_3-0-0_109082_2016-11-10_final
2016-11-10 11:17:38	ga_ls8c_ard_3-0-0_109083_2016-11-10_final
2016-11-10 11:18:02	ga_ls8c_ard_3-0-0_109084_2016-11-10_final
2016-11-10 11:18:26	ga_ls8c_ard_3-0-0_109085_2016-11-10_final
2016-11-17 11:21:50	ga_ls8c_ard_3-0-0_110078_2016-11-17_final
2016-11-17 11:22:14	ga_ls8c_ard_3-0-0_110079_2016-11-17_final
2016-11-17 11:22:38	ga_ls8c_ard_3-0-0_110080_2016-11-17_final
2016-11-17 11:23:02	ga_ls8c_ard_3-0-0_110081_2016-11-17_final
2016-11-17 11:23:26	ga_ls8c_ard_3-0-0_110082_2016-11-17_final
2016-11-17 11:23:50	ga_ls8c_ard_3-0-0_110083_2016-11-17_final
2017-07-20 11:35:31	ga_ls8c_ard_3-0-0_113067_2017-07-20_final
2017-09-15 11:30:23	ga_ls8c_ard_3-0-0_112069_2017-09-15_final
2017-09-15 11:30:47	ga_ls8c_ard_3-0-0_112070_2017-09-15_final
2017-09-15 11:31:11	ga_ls8c_ard_3-0-0_112071_2017-09-15_final
2017-09-15 11:31:35	ga_ls8c_ard_3-0-0_112072_2017-09-15_final
2017-09-15 11:31:58	ga_ls8c_ard_3-0-0_112073_2017-09-15_final
2017-09-15 11:32:22	ga_ls8c_ard_3-0-0_112074_2017-09-15_final
2019-06-17 11:30:06	ga_ls8c_ard_3-1-0_112069_2019-06-17_final
2019-06-17 11:30:30	ga_ls8c_ard_3-1-0_112070_2019-06-17_final
2019-06-17 11:30:54	ga_ls8c_ard_3-1-0_112071_2019-06-17_final
2019-06-17 11:31:18	ga_ls8c_ard_3-1-0_112072_2019-06-17_final
2019-06-17 11:31:42	ga_ls8c_ard_3-1-0_112073_2019-06-17_final
2019-06-17 11:32:06	ga_ls8c_ard_3-1-0_112074_2019-06-17_final
2019-07-10 11:35:35	ga_ls8c_ard_3-1-0_113067_2019-07-10_final
2019-07-26 11:35:40	ga_ls8c_ard_3-1-0_113067_2019-07-26_final
2019-08-04 11:30:21	ga_ls8c_ard_3-1-0_112069_2019-08-04_final
2019-08-04 11:30:44	ga_ls8c_ard_3-1-0_112070_2019-08-04_final
2019-08-04 11:31:08	ga_ls8c_ard_3-1-0_112071_2019-08-04_final
2019-08-04 11:31:32	ga_ls8c_ard_3-1-0_112072_2019-08-04_final
2019-08-04 11:31:56	ga_ls8c_ard_3-1-0_112073_2019-08-04_final
2019-08-04 11:32:20	ga_ls8c_ard_3-1-0_112074_2019-08-04_final
2019-08-11 11:35:46	ga_ls8c_ard_3-1-0_113067_2019-08-11_final
2019-09-12 11:35:55	ga_ls8c_ard_3-1-0_113067_2019-09-12_final
2019-09-21 11:30:35	ga_ls8c_ard_3-1-0_112069_2019-09-21_final
2019-09-21 11:30:59	ga_ls8c_ard_3-1-0_112070_2019-09-21_final
2019-09-21 11:31:23	ga_ls8c_ard_3-1-0_112071_2019-09-21_final
2019-09-21 11:31:47	ga_ls8c_ard_3-1-0_112072_2019-09-21_final
2019-09-21 11:32:10	ga_ls8c_ard_3-1-0_112073_2019-09-21_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years